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POST
/
vectors
/
upsert
# pip install "pinecone[grpc]"
from pinecone.grpc import PineconeGRPC as Pinecone

pc = Pinecone(api_key="YOUR_API_KEY")
index = pc.Index("docs-example")

upsert_response = index.upsert(
    vectors=[
        {
            "id": "vec1",
            "values": [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8],
            "sparse_values": {
                "indices": [1, 5],
                "values": [0.5, 0.5]
            },
            "metadata": {
                "genre": "drama"
            }
        },
        {
            "id": "vec2",
            "values": [0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9],
            "sparse_values": {
                "indices": [5, 6],
                "values": [0.4, 0.5]
            },
            "metadata": {
                "genre": "action"
            }
        }
    ],
    namespace="example-namespace"
)

{"upsertedCount":2}

Documentation Index

Fetch the complete documentation index at: https://docs.pinecone.io/llms.txt

Use this file to discover all available pages before exploring further.

# pip install "pinecone[grpc]"
from pinecone.grpc import PineconeGRPC as Pinecone

pc = Pinecone(api_key="YOUR_API_KEY")
index = pc.Index("docs-example")

upsert_response = index.upsert(
    vectors=[
        {
            "id": "vec1",
            "values": [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8],
            "sparse_values": {
                "indices": [1, 5],
                "values": [0.5, 0.5]
            },
            "metadata": {
                "genre": "drama"
            }
        },
        {
            "id": "vec2",
            "values": [0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9],
            "sparse_values": {
                "indices": [5, 6],
                "values": [0.4, 0.5]
            },
            "metadata": {
                "genre": "action"
            }
        }
    ],
    namespace="example-namespace"
)

{"upsertedCount":2}

Authorizations

​
Api-Key
string
header
required

An API Key is required to call Pinecone APIs. Get yours from the console.

Body

application/json

The request for the upsert operation.

​
vectors
object[]
required

An array containing the vectors to upsert. Recommended batch limit is up to 1000 vectors.

​
namespace
string

The namespace where you upsert vectors.

Example:

"example-namespace"

Response

A successful response.

The response for the upsert operation.

​
upsertedCount
integer<int64>

The number of vectors upserted.

Example:

2